The Application of Hybrid Genetic Algorithms Model in Solving Product Optimization Problem

DOI

10.2991/iccsee.2013.722How to use a DOI?

Keywords

genetic algorithms, hybrid genetic algorithms, product optimization, fitness function

Abstract

We introduce basic theory of genetic algorithms in this paper, Build one hybrid genetic algorithms model base on genetic algorithms in solving product optimization problem. And we realize the model by software. The disposal result of real data tells us that the model has good practicability and accuracy to the problem of product optimization problem.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xiufeng Shao
AU  - Jian Zhang
AU  - Li Li
PY  - 2013/03
DA  - 2013/03
TI  - The Application of Hybrid Genetic Algorithms Model in Solving Product Optimization Problem
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 2893
EP  - 2896
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.722
DO  - 10.2991/iccsee.2013.722
ID  - Shao2013/03
ER  -